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brandonmuch/README.md

Technical Risk & Compliance Analyst

I bridge the gap between 2nd Line of Defence frameworks and data engineering. I do not just write risk registers; I build the automated pipelines to enforce them.

Core Stack: Python, SQL, dbt, PostgreSQL, Power BI

Frameworks: DORA, EU AI Act, GDPR, ISO 27001, NIST AI RMF

Featured Projects:

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  1. dora-register-factory dora-register-factory Public

    Automated DORA Article 28 Register of Information pipeline. Uses dbt and PostgreSQL to enforce EU taxonomy data quality and generate regulatory submission templates.

    Python 1

  2. model-risk-ai-act-register model-risk-ai-act-register Public

    Model risk governance pipeline enforcing ECB validation deadlines and EU AI Act (Annex III) high-risk classification controls using dbt and SQL.

    1

  3. vendor-risk-treatment vendor-risk-treatment Public

    Python-based analysis of third-party concentration risk and risk financing strategies (Transfer vs. Retain) mapped against DORA 4-hour incident reporting requirements.

    Python 1

  4. grc-risk-frameworks grc-risk-frameworks Public

    Traditional GRC artifacts including a Board-level Enterprise Risk Register (DORA, GDPR, AI Act) and an ISO 27001:2022 Audit Readiness Gap Analysis.

    1

  5. silo-analytics-dbt silo-analytics-dbt Public

    dbt + PostgreSQL analytics pipeline. Multi-source ingestion, SCD2 snapshots, incremental models, and 54 data tests.

    Python 1

  6. model-risk-register-ai-banking model-risk-register-ai-banking Public

    Model Risk Register assessing six AI systems in a hypothetical European bank against EU AI Act, NIST AI RMF, and ISO/IEC 42001. Built using the 3 Lines of Defense framework.

    1